Instructions to use havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-SOLAR-10.7B") model = PeftModel.from_pretrained(base_model, "havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b/resolve/50d63077cb7d778aed45116c9ec303f4cb681e86/tokenizer.json
- Command line
-
hf download hf://havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b@50d63077cb7d778aed45116c9ec303f4cb681e86/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/havinash-ai/052a3e6c-4e81-4e24-bb81-59fa39868f8b/resolve/50d63077cb7d778aed45116c9ec303f4cb681e86/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.